Job Description

?Job Responsibilities?

--------------------------

?Job Requirements?

----------------------


JD.com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core. Renowned for its supply chain innovation and excellence, the company has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Learn more: https://corporate.jd.com/


JD.com is seeking a Data Engineer to design, build, and maintain scalable data pipelines and platforms that power our analytics and machine learning systems. You will work closely with product managers, data scientists, and business stakeholders to ensure data availability, quality, and efficiency across international markets. This role requires strong technical expertise in big data processing, database management, and cloud platforms, with a keen eye for reliability and compliance in a global context.

Key Responsibilities:

-------------------------

Design and implement robust data pipelines and ETL processes to support analytics, reporting, and ML model training. Build and optimize scalable data storage and retrieval systems to handle high-volume, multi-market datasets. Ensure data quality, consistency, and compliance with regulations such as GDPR. Collaborate with data scientists and product teams to deliver reliable, well-structured datasets for experimentation and decision-making. Implement monitoring and automation to improve pipeline efficiency and minimize downtime. Contribute to the development of the overall data infrastructure roadmap for JD.com's global operations.

Qualifications:

-------------------

Bachelor's degree in Computer Science, Data Engineering, or a related field. 3+ years of experience in data engineering, big data infrastructure, or large-scale ETL development. Proficiency in SQL and programming languages such as Python, Java, or Scala. Hands-on experience with big data frameworks (e.g., Spark, Hadoop, Flink) and cloud platforms (AWS, GCP, or Azure). Familiarity with data warehouse technologies (e.g., Snowflake, Redshift, BigQuery) and workflow orchestration tools (e.g., Airflow, Luigi). Strong knowledge of data security, compliance, and governance frameworks.

Preferred Qualifications:

-----------------------------

Experience in e-commerce or consumer-facing platforms. Track record of building data platforms in cross-border or international contexts. Familiarity with real-time streaming frameworks (e.g., Kafka, Pulsar).

What We Offer:

------------------

A dynamic and challenging work environment in a leading global e-commerce company. The opportunity to work with a diverse international team and to make a significant impact on JD.com's global presence. Competitive salary and benefits package, including health insurance, retirement plans, and performance bonuses.

?

About JD.com?

----------------------


JD.com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core. Renowned for its supply chain innovation and excellence, JD.com has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Ranked 47th on the Fortune Global 500, JD.com is China's largest retailer by revenue. In 2023, JD.com reported revenues of US$152.8 billion and served approximately 600 million active customers.

?Our International Business?

--------------------------------


We are dedicated to building a digitally intelligent, cross-border supply chain and global retail infrastructure. Leveraging our global supply chain capabilities, JD.com continues to expand in markets where our competitive strengths shine. Currently, JD.com operates globally, with business activities in countries such as China, the U.S., U.K., Netherlands, France, Germany, Spain, Brazil, Hungary, Japan, South Korea, Australia, Thailand, Vietnam, Malaysia, Indonesia, Saudi Arabia, the UAE, and many others, reaching customers in every corner of the world.